You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Comparative Evaluation of Hand-Engineered and Deep-Learned Features for Neonatal Hip Bone Segmentation in Ultrasound
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
Springer, Cham, October 2019
Houssam El-Hariri, Kishore Mulpuri, Antony Hodgson, Rafeef Garbi, El-Hariri, Houssam, Mulpuri, Kishore, Hodgson, Antony, Garbi, Rafeef
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
|Readers by professional status||Count||As %|
|Student > Master||4||27%|
|Student > Ph. D. Student||3||20%|
|Student > Postgraduate||1||7%|
|Readers by discipline||Count||As %|
|Medicine and Dentistry||1||7%|
|Nursing and Health Professions||1||7%|